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Generative AI in enterprises: LLM orchestration holds the key to success

CIO Business Intelligence

This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader. Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance.

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Case study: Policy Enforcement Automation With Semantics

Ontotext

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

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Data Architecture and Strategy in the AI Era

Cloudera

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).